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水甘油通道蛋白-3 的表达和细胞定位受前列腺癌细胞系缺氧的差异调节。

Aquaglyceroporin-3's Expression and Cellular Localization Is Differentially Modulated by Hypoxia in Prostate Cancer Cell Lines.

机构信息

Tissue MicroEnvironment Group, Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.

出版信息

Cells. 2021 Apr 8;10(4):838. doi: 10.3390/cells10040838.

Abstract

Aquaporins are required by cells to enable fast adaptation to volume and osmotic changes, as well as microenvironmental metabolic stimuli. Aquaglyceroporins play a crucial role in supplying cancer cells with glycerol for metabolic needs. Here, we show that AQP3 is differentially expressed in cells of a prostate cancer panel. AQP3 is located at the cell membrane and cytoplasm of LNCaP cell while being exclusively expressed in the cytoplasm of Du145 and PC3 cells. LNCaP cells show enhanced hypoxia growth; Du145 and PC3 cells display stress factors, indicating a crucial role for AQP3 at the plasma membrane in adaptation to hypoxia. Hypoxia, both acute and chronic affected AQP3's cellular localization. These outcomes were validated using a machine learning classification approach of the three cell lines and of the six normoxic or hypoxic conditions. Classifiers trained on morphological features derived from cytoskeletal and nuclear labeling alongside corresponding texture features could uniquely identify each individual cell line and the corresponding hypoxia exposure. Cytoskeletal features were 70-90% accurate, while nuclear features allowed for 55-70% accuracy. Cellular texture features (73.9% accuracy) were a stronger predictor of the hypoxic load than the AQP3 distribution (60.3%).

摘要

水通道蛋白对于细胞适应体积和渗透压变化以及微环境代谢刺激是必需的。水甘油通道蛋白在为癌细胞提供甘油以满足代谢需求方面发挥着关键作用。在这里,我们表明 AQP3 在前列腺癌面板的细胞中差异表达。AQP3 位于 LNCaP 细胞的细胞膜和细胞质中,而仅在 Du145 和 PC3 细胞的细胞质中表达。LNCaP 细胞表现出增强的缺氧生长;Du145 和 PC3 细胞显示应激因子,表明 AQP3 在质膜上对于适应缺氧具有至关重要的作用。急性和慢性缺氧都影响了 AQP3 的细胞定位。使用三种细胞系和六种常氧或缺氧条件的机器学习分类方法验证了这些结果。基于细胞骨架和核标记的形态特征以及相应的纹理特征训练的分类器可以独特地识别每个单独的细胞系和相应的缺氧暴露。细胞骨架特征的准确性为 70-90%,而核特征的准确性为 55-70%。细胞纹理特征(73.9%的准确性)比 AQP3 分布(60.3%)更能准确预测缺氧负荷。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5127/8068192/f78728139ba8/cells-10-00838-g001.jpg

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